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  • 标题:Analysis on teacher teaching evaluation system based on clustering constant modulus
  • 本地全文:下载
  • 作者:Jiangyi Lv ; Cherry Jiang ; Zhiwang Gan
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2022
  • 卷号:140
  • 页码:1-6
  • DOI:10.1051/shsconf/202214001043
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:It is compiled by referring to some dimensions of cartel 16 personality factors questionnaire (16PF) and combined with the current situation of teachers in vocational colleges. Six dimensions are designed, which are communication and expression, innovation, persistence, manual operation, teachers’ professional identity and intelligence. The clustering algorithm is used to simulate and analyze the data system and establish the big data norm. In addition to describing the whole from the data of centralized trend and discrete trend, it can also describe the position of each individual score in the whole. Here, the concept of overall distribution is used to describe the overall data state by presenting the distribution diagram.
  • 关键词:Clustering algorithm;Teaching evaluation;Norm analysis;Cartel personality factor
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